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AI exposure report

Will AI replace Materials Scientists?

Some of your tasks will be automated. People who use AI will have the edge.

Task exposure to today's AI

47/100

Moderate exposure

This is the occupation's typical task mix. Your own score can be up to 30 points higher or lower depending on how you work: routine share, people contact, judgment and how much you already use AI.

Get your personal score

Will AI replace Materials Scientists?

Not entirely. Today's AI tools can take on about 47% of the typical work in this occupation, mostly: prepare reports, manuscripts, proposals, and technical manuals for use by other scientists and requestors, such as sponsors and customers. The parts that stay human include: Conduct research on the structures and properties of materials, such as metals, alloys, polymers, and ceramics, to obtain information that could be used to develop new products or enhance existing ones.; Perform experiments and computer modeling to study the nature, structure, and physical and chemical properties of metals and their alloys, and their responses to applied forces.; Determine ways to strengthen or combine materials or develop new materials with new or specific properties for use in a variety of products and applications..

People who learn to use AI for the automatable parts keep the edge. The 3-phase plan below shows where to start.

Which tasks AI can take on

The largest tasks in this occupation, their share of the working week, and how much of each today's AI tools can do.

TaskAutomatable
Prepare reports, manuscripts, proposals, and technical manuals for use by other scientists and requestors, such as sponsors and customers.AI already used 78%
Plan laboratory experiments to confirm feasibility of processes and techniques used in the production of materials with special characteristics. 65%
Conduct research on the structures and properties of materials, such as metals, alloys, polymers, and ceramics, to obtain information that could be used to develop new products or enhance existing ones. 60%
Determine ways to strengthen or combine materials or develop new materials with new or specific properties for use in a variety of products and applications. 47%
Perform experiments and computer modeling to study the nature, structure, and physical and chemical properties of metals and their alloys, and their responses to applied forces.AI already used 28%
Supervise and monitor production processes to ensure efficient use of equipment, timely changes to specifications, and project completion within time frame and budget. 17%

+ 10 more tasks (39% of the week) in the full test.

Your human edge

  • Conduct research on the structures and properties of materials, such as metals, alloys, polymers, and ceramics, to obtain information that could be used to develop new products or enhance existing ones.
  • Perform experiments and computer modeling to study the nature, structure, and physical and chemical properties of metals and their alloys, and their responses to applied forces.
  • Determine ways to strengthen or combine materials or develop new materials with new or specific properties for use in a variety of products and applications.

AI tools to try

ChatGPT / Claude for literature and writingAI research tools (e.g. Elicit, Consensus, Semantic Scholar)Copilot for data analysis code (Python, R)

Related roles

A 3-phase AI learning plan

Phase 1

Faster literature and writing

  • Literature search and summaries with AI, always checked against the papers.
  • Drafts of methods, reports and grant text.
  • Reference management and formatting.

Project

Use AI to screen 40 papers on one alloy or polymer system into a structured review table, verify every claim against the PDFs, and draft the introduction and methods of your next report.

Phase 2

AI for data analysis

  • Analysis code in Python or R written with AI help.
  • Visualisation and statistics explained step by step.
  • Reproducibility: version code and prompts.

Project

Rebuild one tensile or XRD dataset analysis as an AI-written Python script with plots and statistics, version it in Git with your prompts, and compare results and hours against your old spreadsheet.

Phase 3

AI as a research method

  • Classification, extraction or modelling with AI on your data.
  • Validate against human labels or ground truth.
  • Ethics, data protection and disclosure of AI use.

Project

Train or prompt an AI model to extract processing-property pairs from 100 of your lab reports or to predict a property, validate against 30 hand-labelled ground-truth cases, and document accuracy and AI disclosure.
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